code: def __init__(self):
      super(CombinedActionModel, self).__init__()
      self.linear_1 = nn.Sequential(nn.Linear(636, 512), nn.ReLU())
      self.linear_2 = nn.Sequential(nn.Linear(512, 512), nn.ReLU())
      self.linear_3 = nn.Sequential(nn.Linear(512, 512), nn.ReLU())
      self.linear_4 = nn.Sequential(nn.Linear(512, 512), nn.ReLU())
      self.linear_5 = nn.Sequential(nn.Linear(512, 512), nn.ReLU())
      self.linear_6 = nn.Linear(512, 232)
  
file_path: PARL/benchmark/torch/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge/track1/powernet_model.py
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new CombinedActionModel object from inherited base classes: nn with example: obj = CombinedActionModel()